Evaluation of different shape parameters to distinguish between flocs and filaments in activated sludge images.
Evaluation of different shape parameters to distinguish between flocs and filaments in activated sludge images.
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DOI：
10.2166/wst.2002.0558
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发表时间：
2002-02
期刊：
影响因子：
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通讯作者：
C. Cenens;R. Jenné;Impe J F Van
中科院分区：
文献类型：
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作者：
C. Cenens;R. Jenné;Impe J F Van
在活性污泥废水处理厂中，絮体与丝状菌的比例对工厂的整体性能至关重要。为了控制这一比例，絮体和丝状菌的各自浓度需要能够被测量。然而，目前没有能够测量这些浓度的传感器。有人提出，可以通过图像分析技术来确定絮体与丝状菌的比例。将该比例与总生物量浓度相结合，就能得出絮体和丝状菌各自的浓度。本文着重于图像分析过程的最后一步，即把物体分类为絮体或丝状菌。对五个不同的形状参数，即长宽比、圆度、形状因子、分形维数和简化回转半径进行了评估和比较。结果表明，形状因子是最不适合准确分类活性污泥图像中絮体和丝状菌的参数，而简化回转半径是最合适的形状参数。
The ratio of flocs to filaments in activated sludge waste water treatment plants is of extreme importance for the overall performance of the plant. In order to control this ratio the individual concentrations of flocs and filaments need to be measurable. However, no sensors which can measure these concentrations are currently available. It is proposed that by means of image analysis techniques the ratio of flocs to filaments can be determined. Combination of this ratio with the total biomass concentration results in the individual floc and filament concentration. This contribution focuses on the last step of the image analysis procedure, i.e., the classification of objects as either floc or filament. Five different shape parameters, i.e., aspect ratio, roundness, form factor, fractal dimension and reduced radius of gyration, are evaluated and compared. The results indicate that the form factor is the least suitable and the reduced radius of gyration the most suitable shape parameter to accurately classify flocs and filaments in activated sludge images.